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/*
* Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/NEON/NEAsymm.h"
#include "arm_compute/core/NEON/wrapper/wrapper.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
#include "arm_compute/core/CPP/Validate.h"
#include <arm_neon.h>
using namespace arm_compute;
namespace
{
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape().total_size() == 0);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
return Status{};
}
inline float32x4x4_t load_value(const float *input_ptr)
{
return { wrapper::vloadq(input_ptr),
wrapper::vloadq(input_ptr + 4),
wrapper::vloadq(input_ptr + 8),
wrapper::vloadq(input_ptr + 12) };
}
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
inline const float32x4x4_t load_value(const float16_t *input_ptr)
{
return { vcvt_f32_f16(wrapper::vload(input_ptr)),
vcvt_f32_f16(wrapper::vload(input_ptr + 4)),
vcvt_f32_f16(wrapper::vload(input_ptr + 8)),
vcvt_f32_f16(wrapper::vload(input_ptr + 12)) };
}
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
} // namespace
NEQuantizationLayerKernel::NEQuantizationLayerKernel()
: _input(nullptr), _output(nullptr)
{
}
void NEQuantizationLayerKernel::configure(const ITensor *input, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
_input = input;
_output = output;
// Configure kernel window
Window win_config = calculate_max_window(*input->info(), Steps());
Coordinates coord;
coord.set_num_dimensions(output->info()->num_dimensions());
output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape()));
INEKernel::configure(win_config);
}
Status NEQuantizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
return Status{};
}
template <typename T>
void NEQuantizationLayerKernel::quantize(const Window &window, const QuantizationInfo &qinfo)
{
constexpr auto window_step = 16;
const auto window_start_x = static_cast<int>(window.x().start());
const auto window_end_x = static_cast<int>(window.x().end());
const UniformQuantizationInfo uqinfo = qinfo.uniform();
#ifdef __aarch64__
constexpr RoundingPolicy rounding_policy = RoundingPolicy::TO_NEAREST_EVEN;
#else //__aarch64__
constexpr RoundingPolicy rounding_policy = RoundingPolicy::TO_ZERO;
#endif //__aarch64__
// Collapse window and reset first dimension to handle tail calculations manually
Window win_collapsed = window.collapse_if_possible(window, Window::DimZ);
win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1));
Iterator input(_input, win_collapsed);
Iterator output(_output, win_collapsed);
execute_window_loop(win_collapsed, [&](const Coordinates &)
{
auto input_ptr = reinterpret_cast<const T *>(input.ptr());
auto output_ptr = reinterpret_cast<uint8_t *>(output.ptr());
int x = window_start_x;
for(; x <= (window_end_x - window_step); x += window_step)
{
wrapper::vstore(&output_ptr[x], vquantize(load_value(&input_ptr[x]), uqinfo));
}
// Compute left-over elements
for(; x < window_end_x; ++x)
{
output_ptr[x] = quantize_qasymm8(input_ptr[x], uqinfo, rounding_policy);
}
},
input, output);
}
void NEQuantizationLayerKernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
const QuantizationInfo &qinfo = _output->info()->quantization_info();
switch(_input->info()->data_type())
{
case DataType::F32:
NEQuantizationLayerKernel::quantize<float>(window, qinfo);
break;
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
case DataType::F16:
NEQuantizationLayerKernel::quantize<float16_t>(window, qinfo);
break;
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
default:
ARM_COMPUTE_ERROR("Unsupported data type.");
}
}
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